{"id":"W3009362504","doi":"10.1007/978-3-030-43192-1_10","title":"Users’ Attitude on Perceived Security of Enterprise Systems Mobility: A Conceptual Model","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Flexibility (engineering); Conceptual model; Enterprise information system; Enterprise system; Computer security; Computer science; Enterprise systems engineering; Competitive advantage; Recreation; Business; Knowledge management; Marketing; Enterprise architecture; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001126699,0.0003965285,0.0004874453,0.000291626,0.0001095003,0.00007507454,0.004970722,0.0004606518,6.838437e-7],"category_scores_gemma":[0.0005259013,0.0003735944,0.00006310731,0.0001241009,0.0003415163,0.0002064143,0.003505109,0.001200299,0.000003762326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008318629,"about_ca_system_score_gemma":0.00004010036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047651,"about_ca_topic_score_gemma":0.000007838749,"domain_scores_codex":[0.9985448,0.00001954269,0.0003665775,0.0006738329,0.0002273079,0.0001680154],"domain_scores_gemma":[0.9920342,0.0005195986,0.0002160723,0.007096757,0.00009320704,0.00004018317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003475753,0.0001521613,0.000004710558,0.0004482777,0.0002439368,0.00000832413,0.001182738,0.07289416,0.001723612,0.8688295,0.0003541648,0.05412362],"study_design_scores_gemma":[0.0001999658,0.0004682241,0.000004887291,0.0009586568,0.00005383976,0.00001598888,0.00005873301,0.9451061,0.002475632,0.03024103,0.019682,0.0007349213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00009337294,0.003539213,0.9885679,0.001402131,0.00006469935,0.0005683605,0.0005826707,0.004260259,0.0009213773],"genre_scores_gemma":[0.8839854,0.003921763,0.1116406,0.00007560969,0.00001120402,0.00008543023,0.0001674018,0.00004652322,0.00006605954],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8838921,"threshold_uncertainty_score":0.9998716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550019795387537,"score_gpt":0.2661547252505191,"score_spread":0.2206545272966437,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}